Metabolon, Inc., the global leader in providing metabolomics solutions advancing a wide variety of life science research, diagnostic, therapeutic development, and precision medicine applications, announced the much-anticipated launch of an advanced statistical analysis tool within the company's bioinformatics platform. 

Researchers handling large sample datasets struggle to filter out unnecessary data and focus on what's critical. Metabolon's new statistical analysis tool helps researchers build and compare different statistical models, upload and manage metadata, remove outliers, test hypotheses, and visualize results with the goal of uncovering new multiomic insights that might be missed with raw data alone. 

"As your research expands, this new statistical tool supports further hypothesis testing and advanced analyses like outlier removal, modifying metadata, and running statistical tests such as T-tests and ANOVAs, all through an easy, step-by-step process," said Ro Hastie, President & CEO at Metabolon. "Designed by popular demand and with significant customer input, we're confident researchers will love the power and fidelity of Metabolon's new statistical analysis tool!"

Metabolon's new statistical analysis tool includes the following functionality:

• Flexible Analysis Design: Create and modify sophisticated statistical analyses to align with your study requirements. Build new statistical models and test different hypotheses side by side, ensuring adaptability and control throughout your research process.
• Dynamic Metadata Integration: Upload and update sample metadata, customize column names, and modify metadata values, directly influencing the resultant analyses and visual outputs. This ensures accuracy and relevance as new data or hypotheses emerge.
• Data Outlier Control: Not all data is relevant to your research, and some data may hinder the identification of common traits among sample groups. Select samples for exclusion, refining your analysis by focusing on high-impact trends and reducing statistical noise.
• Results Visualization: View statistical results across all bioinformatics platform visualization tools, allowing immediate interpretation and decision-making.
• Scientific Traceability: As your research evolves, automatically record all analyses and metadata modifications so you can easily explain your discovery process and share findings.